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Provable Convex Co-clustering of Tensors
2020
Journal of machine learning research
Cluster analysis is a fundamental tool for pattern discovery of complex heterogeneous data. Prevalent clustering methods mainly focus on vector or matrix-variate data and are not applicable to general-order tensors, which arise frequently in modern scientific and business applications. Moreover, there is a gap between statistical guarantees and computational efficiency for existing tensor clustering solutions due to the nature of their non-convex formulations. In this work, we bridge this gap
pmid:33312074
pmcid:PMC7731944
fatcat:bjrmicvonfcupkwzctaprj44tq